get_ai_log_export_status

SERVERMeridian SOURCE@meridianmcp/mcp

Low RISK CLASS

Category Read

Parameters 20 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/get-ai-log-export-status.md

WHAT IT DOES

What get_ai_log_export_status does on Meridian

AI agents call get_ai_log_export_status to retrieve information from Meridian without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`project_id`	string	—
`project_name`	string	—	Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given.

Parameters from the server's own tool schema.

RISK

Why get_ai_log_export_status is rated Low

Even though get_ai_log_export_status only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_ai_log_export_status safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Meridian, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_ai_log_export_status, this is the rule to start with:

get_ai_log_export_status Allowed

get_ai_log_export_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_ai_log_export_status": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Meridian, apply this rule, and every get_ai_log_export_status call is checked against it from then on.

FAQ

Questions about get_ai_log_export_status

What does the get_ai_log_export_status tool do? +

[MAINTENANCE] R2-G — Read-only: status/diagnostics for the OPTIONAL AI-log -> OTel/self-hosted-Langfuse export adapter (meridian.ai_log_otel_export). Attempts NO network call — only reports whether the feature is globally enabled (MERIDIAN_AI_LOG_OTEL_ENABLED), the effective per-project enabled state, whether the optional opentelemetry client library is installed, the resolved endpoint/protocol/service_name, and the stored config/watermark row (last export status, last error, retry_count) if one exists. Meridian's own ai_log_events table stays authoritative regardless of this feature's state — see meridian.ai_log_otel_export's module docstring for the binding architectural decision (this is an export adapter, never a second source of truth). Returns {project_id, global_feature_enabled, effective_enabled, dependency_available, endpoint_configured, protocol, langfuse_compat, service_name, config}. It is categorised as a Read tool in the Meridian MCP Server, which means it retrieves data without modifying state.

What parameters does get_ai_log_export_status accept? +

get_ai_log_export_status accepts 2 parameters: project_id, project_name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_ai_log_export_status? +

Register the Meridian MCP server in PolicyLayer and add a rule for get_ai_log_export_status: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Meridian. Nothing to install.

What risk level is get_ai_log_export_status? +

get_ai_log_export_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_ai_log_export_status? +

Yes. Add a rate_limit block to the get_ai_log_export_status rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_ai_log_export_status completely? +

Set action: deny in the PolicyLayer policy for get_ai_log_export_status. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_ai_log_export_status? +

get_ai_log_export_status is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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